Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Radar and Communication Coexistence: An Overview: A Review of Recent Methods
2019444 citationsMarco Lops, Xiaodong Wang et al.profile →
Foundations of MIMO Radar Detection Aided by Reconfigurable Intelligent Surfaces
2022161 citationsEmanuele Grossi, Marco Lops et al.IEEE Transactions on Signal Processingprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Marco Lops's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marco Lops with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Lops more than expected).
This network shows the impact of papers produced by Marco Lops. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marco Lops. The network helps show where Marco Lops may publish in the future.
Co-authorship network of co-authors of Marco Lops
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Lops.
A scholar is included among the top collaborators of Marco Lops based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Marco Lops. Marco Lops is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Grossi, Emanuele, Marco Lops, Luca Venturino, & Alessio Zappone. (2018). Opportunistic Radar in IEEE 802.11ad Networks. IEEE Transactions on Signal Processing. 66(9). 2441–2454.79 indexed citations
6.
Grossi, Emanuele, Luca Venturino, & Marco Lops. (2012). A two-step multi-frame detection procedure for radar systems. International Conference on Information Fusion. 1196–1201.13 indexed citations
7.
Grossi, Emanuele & Marco Lops. (2012). Kullback-Leibler divergence region in MIMO radar detection problems. International Conference on Information Fusion. 896–901.3 indexed citations
Grossi, Emanuele, et al.. (2010). Sparsity-Aware Estimation of CDMA System Parameters. SHILAP Revista de lepidopterología.1 indexed citations
10.
Lops, Marco, et al.. (2010). A model-based track-before-detect strategy. European Radar Conference. 300–303.3 indexed citations
11.
Orlando, Danilo, Luca Venturino, Marco Lops, & Giuseppe Ricci. (2009). Space-time adaptive algorithms for track-before-detect in clutter environments. 1–6.6 indexed citations
12.
Aubry, Augusto, Marco Lops, Antonia M. Tulino, & Luca Venturino. (2009). On MIMO waveform design for non-Gaussian target detection. 1–6.3 indexed citations
13.
Angelosante, Daniele, E. Biglieri, & Marco Lops. (2008). Some applications of FISST to wireless communications. Repositori digital de la UPF (Universitat Pompeu Fabra). 1–6.1 indexed citations
14.
Maranò, Stefano, M. Longo, & Marco Lops. (1999). Assessment of some fusion rules in L-CFAR decentralized detection.
Conte, E., Marco Lops, & Giuseppe Ricci. (1992). Distribution-free radar detection in compound-gaussian clutter. 98–101.3 indexed citations
18.
Conte, E., M. Longo, Marco Lops, & Giuseppe Ricci. (1991). Detection of fluctuating targets in correlated K-distributed clutter. 381–384.1 indexed citations
19.
Longo, M., et al.. (1989). Two-Sided Censored Mean-Level Detector for CFAR in Multiple-Target Situations and Clutter Edges. 58(2). 165–173.5 indexed citations
20.
Lops, Marco, et al.. (1989). A new Model for coherent Weibull clutter. 2. 482–487.4 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.